Analysis Group Pro Bono Team Assists Harvard Medical School in TB Genome Machine Learning Project

Harvard Medical School faculty members Dr. Maha Farhat and Dr. Megan Murray have performed sequencing and drug resistance testing on a set of 1,400 tuberculosis strains to study the value of adding mutations to diagnostic tests to improve test characteristics using machine learning. Currently the research is being done on a limited number of mutations.

An Analysis Group team—president Pierre Cremieux and vice president Jimmy Royer—has been assisting the HMS physicians on a pro bono basis to expand the earlier study by Dr. Farhat using a neural network approach and working to use comprehensive data on the full TB genome. One goal of the HMS study is to provide ways for physicians to prescribe treatments tailored to the needs of each patient.

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